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Dynamic Fuzzy Cognitive Maps Embedded and Classical Fuzzy Controllers Applied in Industrial Process

Authors:
Lucas Botoni de Souza
Ruan Victor Pelloso Duarte Barros
Márcio Mendonça
Elpiniki I. Papageorgiou

Keywords: Dynamic Fuzzy Cognitive Maps; Hebbian Learning; Arduino Microcontroller; Process Control; Fuzzy Logic; Artificial Neural Network.

Abstract:
This research presents the application of intelligent techniques to control an industrial mixer. The controller design is based on Hebbian learning for evolution of Fuzzy Cognitive Maps. A Fuzzy Classic Controller and Artificial Neural Network was used to validate the simulation results. Experimental simulations and analysis in this control problem was made. In addition, the results were embedded using algorithms into the Arduino platform.

Pages: 54 to 59

Copyright: Copyright (c) IARIA, 2017

Publication date: May 21, 2017

Published in: conference

ISSN: 2308-3913

ISBN: 978-1-61208-555-5

Location: Barcelona, Spain

Dates: from May 21, 2017 to May 25, 2017